2D Light-Sheet Microscopy Timelapse of Cardiomyocyte Calcium Dynamics

A 2D light-sheet fluorescence microscopy dataset captures calcium dynamics in a ventricular cardiomyocyte. It includes 18,000 raw image frames, pre-processed spectral channel data, and associated pacing signals. The data was produced by Liuba Dvinskikh and colleagues at Imperial College London and relates to a 2023 manuscript under review.

Use Cases

• Train models for calcium spark detection based on the provided pre-processed image channels.
• Analyze the relationship between pacing signals and calcium transients using the recorded waveform time trace.
• Develop image segmentation algorithms for cardiomyocyte nuclei using the provided nuclear mask matrix.
• Benchmark denoising or background subtraction methods against the provided time-averaged background image.

Strengths

• The dataset includes a substantial volume of raw image data, with a compressed size of 14.9 GB and an uncompressed size of 42.8 GB.
• It provides multiple pre-processed derivatives, including split spectral channels, nuclear masks, and average/maximum intensity projections.
• Data is directly linked to a specific, peer-reviewed research manuscript, providing scientific context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

Imperial College London

Collection Method

Recorded via high-speed 2D light-sheet fluorescence microscopy.